ENGLISH

Cooperative Control of Distributed Multi-Agent Systems

Book information

Year
2007
ISBN
9780470060315, 9780470724200
DOI
10.1002/9780470724200
Language
english
Format
PDF
Filesize
17 MB (18338966 bytes)
Pages
433\433
Orientation
yes
Scanned
yes
Time added
2013-08-01 04:00:00

Description

The paradigm of ‘multi-agent’ cooperative control is the challenge frontier for new control system application domains, and as a research area it has experienced a considerable increase in activity in recent years. This volume, the result of a UCLA collaborative project with Caltech, Cornell and MIT, presents cutting edge results in terms of the “dimensions” of cooperative control from leading researchers worldwide. This dimensional decomposition allows the reader to assess the multi-faceted landscape of cooperative control. Cooperative Control of Distributed Multi-Agent Systems is organized into four main themes, or dimensions, of cooperative control: distributed control and computation, adversarial interactions, uncertain evolution and complexity management. The military application of autonomous vehicles systems or multiple unmanned vehicles is primarily targeted; however much of the material is relevant to a broader range of multi-agent systems including cooperative robotics, distributed computing, sensor networks and data network congestion control. Cooperative Control of Distributed Multi-Agent Systems offers the reader an organized presentation of a variety of recent research advances, supporting software and experimental data on the resolution of the cooperative control problem. It will appeal to senior academics, researchers and graduate students as well as engineers working in the areas of cooperative systems, control and optimization.Content: Chapter 1 Dimensions of Cooperative Control (pages 1–18): Jeff S. Shamma and Gurdal ArslanChapter 2 Design of Behavior of Swarms: From Flocking to Data Fusion using Microfilter Networks (pages 19–41): Reza Olfati?SaberChapter 3 Connectivity and Convergence of Formations (pages 43–61): Sonja Glavaski, Anca Williams and Tariq SamadChapter 4 Distributed Receding Horizon Control: Stability via Move Suppression (pages 63–77): William B. DunbarChapter 5 Distributed Predictive Control: Synthesis, Stability and Feasibility (pages 79–108): Tamas Keviczky, Francesco Borrelli and Gary J. BalasChapter 6 Task Assignment for Mobile Agents (pages 109–138): Brandon J. Moore and Kevin M. PassinoChapter 7 On the Value of Information in Dynamic Multiple?Vehicle Routing Problems (pages 139–176): Alessandro Arsie, John J. Enright and Emilio FrazzoliChapter 8 Optimal Agent Cooperation with Local Information (pages 177–211): Eric Feron and Jan DeMotChapter 9 Multiagent Cooperation through Egocentric Modeling (pages 213–229): Vincent Pei?wen Seah and Jeff S. ShammaChapter 10 Multi?Vehicle Cooperative Control Using Mixed Integer Linear Programming (pages 231–259): Matthew G. Earl and Raffaello D'AndreaChapter 11 LP?Based Multi?Vehicle Path Planning with Adversaries (pages 261–279): Georgios C. Chasparis and Jeff S. ShammaChapter 12 Characterization of LQG Differential Games with Different Information Patterns (pages 281–301): Ashitosh Swarup and Jason L. SpeyerChapter 13 Modal Estimation of Jump Linear Systems: An Information Theoretic Viewpoint (pages 303–321): Nuno C. Martins and Munther A. DahlehChapter 14 Conditionally?Linear Filtering for Mode Estimation in Jump?Linear Systems (pages 323–358): Daniel Choukroun and Jason L. SpeyerChapter 15 Cohesion of Languages in Grammar Networks (pages 359–375): Y. Lee, T. C. Collier, C. E. Taylor and E. P. StablerChapter 16 Complexity Management in the State Estimation of Multi?Agent Systems (pages 377–407): Domitilla Del Vecchio and Richard M. MurrayChapter 17 Abstraction?Based Command and Control with Patch Models (pages 409–432): V. G. Rao, S. Goldfarb and R. D'Andrea

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